In order to address the optimal distance toll design problem for cordon-based congestion pricing incorporating the issue of equity,this paper presents a toll user equilibrium( TUE) model based on a transformed network...In order to address the optimal distance toll design problem for cordon-based congestion pricing incorporating the issue of equity,this paper presents a toll user equilibrium( TUE) model based on a transformed network with elastic demand,to evaluate any given toll charge function. A bi-level programming model is developed for determining the optimal toll levels,with the TUE being represented at the lower level.The upper level optimizes the total equity level over the transport network,represented by the Gini coefficient,where a constraint is imposed to the total travel impedance of each OD pair after the levy. A genetic algorithm( GA) is implemented to solve the bi-level model,which is verified by a numerical example.展开更多
1 Introduction Over the past decade,the rapid evolution of artificial intelligence(AI)has revolutionized various sectors,including transportation.This discussion explores the transformative potential of AI in enhancin...1 Introduction Over the past decade,the rapid evolution of artificial intelligence(AI)has revolutionized various sectors,including transportation.This discussion explores the transformative potential of AI in enhancing transportation electrification,focusing on its role in battery management,vehicle speed regulation,and personalized route recommendations for Autonomous Electric Vehicles(AEVs).展开更多
基金Sponsored by the National Natural Science Foundation of China(Grant No.61374195 and 71501038)the Fundamental Research Funds for the Central Universities(Grant No.2242015R30036)the Natural Science Foundation of Jiangsu Province in China(Grant No.BK20150603)
文摘In order to address the optimal distance toll design problem for cordon-based congestion pricing incorporating the issue of equity,this paper presents a toll user equilibrium( TUE) model based on a transformed network with elastic demand,to evaluate any given toll charge function. A bi-level programming model is developed for determining the optimal toll levels,with the TUE being represented at the lower level.The upper level optimizes the total equity level over the transport network,represented by the Gini coefficient,where a constraint is imposed to the total travel impedance of each OD pair after the levy. A genetic algorithm( GA) is implemented to solve the bi-level model,which is verified by a numerical example.
文摘1 Introduction Over the past decade,the rapid evolution of artificial intelligence(AI)has revolutionized various sectors,including transportation.This discussion explores the transformative potential of AI in enhancing transportation electrification,focusing on its role in battery management,vehicle speed regulation,and personalized route recommendations for Autonomous Electric Vehicles(AEVs).
